{"646035":{"#nid":"646035","#data":{"type":"event","title":"PhD Proposal Presentation - Shixiang (Woody) Zhu","body":[{"value":"\u003Cp\u003EYou are kindly invited\u0026nbsp;to attend Shixiang (Woody) Zhu\u0026#39;s\u0026nbsp;Ph.D.\u0026nbsp;proposal\u0026nbsp;presentation. Please see the details\u0026nbsp;below.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003ETitle:\u0026nbsp;Statistical Learning and Decision Making for Spatio-temporal Data\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EApril 8th, 2021\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E11 AM EST\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fbluejeans.com%2F5007129655\u0026amp;data=04%7C01%7Cml-fac%40cc.gatech.edu%7Ce6a28ed3bf2b4f3e0b1308d8f55be22c%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637529122262627304%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=v6Qs5RbVfnx7kJmwSAoFqDzAzWhJXDgb%2B1LO6ZERaAM%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/bluejeans.com\/5007129655\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EStudent Name:\u0026nbsp;\u003C\/strong\u003EShixiang (Woody) Zhu, Machine Learning Ph.D. Student\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EHome School:\u003C\/strong\u003E\u0026nbsp;H. Milton Stewart School of Industrial \u0026amp; Systems Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EAdvisor\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003EDr. Yao Xie (H. Milton Stewart School of Industrial \u0026amp; Systems Engineering, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E1 Dr. Pascal Van Hentenryck (H. Milton Stewart School of Industrial \u0026amp; Systems Engineering, Georgia Institute of Technology)\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2 Dr. George Nemhauser (H. Milton Stewart School of Industrial \u0026amp; Systems Engineering, Georgia Institute of Technology)\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E3 Dr. Feng Qiu (Argonne National Laboratory)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E4 Dr. He Wang (H. Milton Stewart School of Industrial \u0026amp; Systems Engineering, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003ESpatio-temporal data modeling and sequential decision analytics are a growing area of research with an enormous amount of modern spatio-temporal data being consistently collected from the real world. These applications include power grids, public safety systems, healthcare systems, financial markets, social media, IoT networks, and even our personal mobile devices. Understanding the intricate spatio-temporal dynamics behind these data requires the next generation of mathematical and statistical algorithms based on quantitative models of human and physical dynamics. In this proposal, we first present the recent developments in this area with both methodological advances and various real-world applications. Then we develop new theoretical and algorithmic techniques for capturing the dynamics of real-world spatio-temporal data by combining cutting-edge machine learning and classical statistical models. We also formulate the sequential decision making process as an optimization problem in a data driven manner, which could suggest better decisions by taking advantage of the historical knowledge. Lastly, we study a wide array of real-world spatio-temporal datasets using our proposed methods. The results demonstrate the value of spatio-temporal analytics in understanding computational, physical, and social systems.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"You are kindly invited to attend Shixiang (Woody) Zhu\u0027s Ph.D. proposal presentation."}],"uid":"34773","created_gmt":"2021-04-02 12:40:55","changed_gmt":"2021-04-02 12:40:55","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-08T12:00:00-04:00","event_time_end":"2021-04-08T14:30:00-04:00","event_time_end_last":"2021-04-08T14:30:00-04:00","gmt_time_start":"2021-04-08 16:00:00","gmt_time_end":"2021-04-08 18:30:00","gmt_time_end_last":"2021-04-08 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}